Comparing Original Dataset and Oversampled Dataset

Dataset statistics

	Original Dataset	Oversampled Dataset
Number of variables	15	15
Number of observations	188	862
Missing cells	0	0
Missing cells (%)	0.0%	0.0%
Duplicate rows	0	175
Duplicate rows (%)	0.0%	20.3%
Total size in memory	22.2 KiB	107.8 KiB
Average record size in memory	120.7 B	128.0 B

Variable types

	Original Dataset	Oversampled Dataset
Categorical	8	8
Numeric	7	7

Alerts

Original Dataset	Oversampled Dataset
`nozzle_voltage` is highly overall correlated with `velocity` and 1 other fields	Alert not present in	High Correlation
`drop_spacing` is highly overall correlated with `line_width` and 1 other fields	Alert not present in	High Correlation
`time` is highly overall correlated with `distance`	Alert not present in	High Correlation
`velocity` is highly overall correlated with `nozzle_voltage`	Alert not present in	High Correlation
`line_width` is highly overall correlated with `drop_spacing` and 1 other fields	Alert not present in	High Correlation
`roughness` is highly overall correlated with `drop_spacing` and 1 other fields	Alert not present in	High Correlation
`print_height` is highly overall correlated with `ink_visco_cp` and 5 other fields	Alert not present in	High Correlation
`distance` is highly overall correlated with `nozzle_voltage` and 1 other fields	Alert not present in	High Correlation
`ink_visco_cp` is highly overall correlated with `print_height` and 5 other fields	Alert not present in	High Correlation
`ink_visco_pas` is highly overall correlated with `print_height` and 5 other fields	Alert not present in	High Correlation
`surface_tension_dyne_cm` is highly overall correlated with `print_height` and 5 other fields	Alert not present in	High Correlation
`surface_tension_n_m` is highly overall correlated with `print_height` and 5 other fields	Alert not present in	High Correlation
`ink _density` is highly overall correlated with `print_height` and 5 other fields	Alert not present in	High Correlation
`z_number` is highly overall correlated with `print_height` and 5 other fields	Alert not present in	High Correlation
`overspray` has 8 (4.3%) zeros	`overspray` has 21 (2.4%) zeros	Zeros
Alert not present in	Dataset has 175 (20.3%) duplicate rows	Duplicates
Alert not present in	`print_height` has a high cardinality: 91 distinct values	High Cardinality
Alert not present in	`distance` has a high cardinality: 93 distinct values	High Cardinality
Alert not present in	`ink_visco_cp` has a high cardinality: 220 distinct values	High Cardinality
Alert not present in	`ink_visco_pas` has a high cardinality: 220 distinct values	High Cardinality
Alert not present in	`surface_tension_dyne_cm` has a high cardinality: 220 distinct values	High Cardinality
Alert not present in	`surface_tension_n_m` has a high cardinality: 220 distinct values	High Cardinality
Alert not present in	`ink _density` has a high cardinality: 51 distinct values	High Cardinality
Alert not present in	`z_number` has a high cardinality: 220 distinct values	High Cardinality
Alert not present in	`distance` is highly imbalanced (55.0%)	Imbalance
Alert not present in	`ink_visco_cp` is highly imbalanced (56.4%)	Imbalance
Alert not present in	`ink_visco_pas` is highly imbalanced (56.4%)	Imbalance
Alert not present in	`surface_tension_dyne_cm` is highly imbalanced (56.4%)	Imbalance
Alert not present in	`surface_tension_n_m` is highly imbalanced (56.4%)	Imbalance
Alert not present in	`ink _density` is highly imbalanced (57.4%)	Imbalance
Alert not present in	`z_number` is highly imbalanced (56.4%)	Imbalance

Reproduction

	Original Dataset	Oversampled Dataset
Analysis started	2023-05-08 07:57:54.416257	2023-05-08 07:57:59.507828
Analysis finished	2023-05-08 07:57:59.493524	2023-05-08 07:58:06.736570
Duration	5.08 seconds	7.23 seconds
Software version	ydata-profiling vv4.1.2	ydata-profiling vv4.1.2
Download configuration	config.json	config.json

print_height
Categorical

	Original Dataset	Oversampled Dataset
Distinct	4	91
Distinct (%)	2.1%	10.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

800	55
750	53
700	51
650	29

800	206
700	167
750	165
650	106
698	8
Other values (86)	210

Length

	Original Dataset	Oversampled Dataset
Max length	3	3
Median length	3	3
Mean length	3	3
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	564	2586
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	38 ?
Unique (%)	0.0%	4.4%

Sample

	Original Dataset	Oversampled Dataset
1st row	800	702
2nd row	800	702
3rd row	800	696
4th row	800	703
5th row	800	698

Common Values

Value	Count	Frequency (%)
800	55	29.3%
750	53	28.2%
700	51	27.1%
650	29	15.4%

Value	Count	Frequency (%)
800	206	23.9%
700	167	19.4%
750	165	19.1%
650	106	12.3%
698	8	0.9%
752	8	0.9%
751	7	0.8%
801	6	0.7%
749	6	0.7%
702	5	0.6%
Other values (81)	178	20.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
800	55	29.3%
750	53	28.2%
700	51	27.1%
650	29	15.4%

Value	Count	Frequency (%)
800	206	23.9%
700	167	19.4%
750	165	19.1%
650	106	12.3%
698	8	0.9%
752	8	0.9%
751	7	0.8%
801	6	0.7%
749	6	0.7%
696	5	0.6%
Other values (81)	178	20.6%

Most occurring characters

Value	Count	Frequency (%)
0	294	52.1%
7	104	18.4%
5	82	14.5%
8	55	9.8%
6	29	5.1%

Value	Count	Frequency (%)
0	1056	40.8%
7	493	19.1%
5	337	13.0%
8	258	10.0%
6	205	7.9%
9	80	3.1%
4	69	2.7%
1	32	1.2%
2	31	1.2%
3	25	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564	100.0%

Value	Count	Frequency (%)
Decimal Number	2586	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294	52.1%
7	104	18.4%
5	82	14.5%
8	55	9.8%
6	29	5.1%

Value	Count	Frequency (%)
0	1056	40.8%
7	493	19.1%
5	337	13.0%
8	258	10.0%
6	205	7.9%
9	80	3.1%
4	69	2.7%
1	32	1.2%
2	31	1.2%
3	25	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	564	100.0%

Value	Count	Frequency (%)
Common	2586	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294	52.1%
7	104	18.4%
5	82	14.5%
8	55	9.8%
6	29	5.1%

Value	Count	Frequency (%)
0	1056	40.8%
7	493	19.1%
5	337	13.0%
8	258	10.0%
6	205	7.9%
9	80	3.1%
4	69	2.7%
1	32	1.2%
2	31	1.2%
3	25	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	564	100.0%

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294	52.1%
7	104	18.4%
5	82	14.5%
8	55	9.8%
6	29	5.1%

Value	Count	Frequency (%)
0	1056	40.8%
7	493	19.1%
5	337	13.0%
8	258	10.0%
6	205	7.9%
9	80	3.1%
4	69	2.7%
1	32	1.2%
2	31	1.2%
3	25	1.0%

nozzle_voltage
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	6	18
Distinct (%)	3.2%	2.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	31.734043	31.954756

	Original Dataset	Oversampled Dataset
Minimum	25	24
Maximum	40	41
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	25	24
5-th percentile	25	25
Q1	28	28
median	31	31
Q3	37	37
95-th percentile	40	40
Maximum	40	41
Range	15	17
Interquartile range (IQR)	9	9

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	5.0540936	4.8385352
Coefficient of variation (CV)	0.15926409	0.15141831
Kurtosis	-1.1485165	-1.1798426
Mean	31.734043	31.954756
Median Absolute Deviation (MAD)	3	3
Skewness	0.26638963	0.19087405
Sum	5966	27545
Variance	25.543862	23.411423
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
31	39	20.7%
28	38	20.2%
25	35	18.6%
40	27	14.4%
34	25	13.3%
37	24	12.8%

Value	Count	Frequency (%)
28	159	18.4%
31	130	15.1%
37	108	12.5%
25	103	11.9%
34	100	11.6%
40	94	10.9%
27	37	4.3%
36	32	3.7%
33	23	2.7%
30	22	2.6%
Other values (8)	54	6.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
25	35	18.6%
28	38	20.2%
31	39	20.7%
34	25	13.3%
37	24	12.8%
40	27	14.4%

Value	Count	Frequency (%)
24	4	0.5%
25	103	11.9%
26	13	1.5%
27	37	4.3%
28	159	18.4%
29	5	0.6%
30	22	2.6%
31	130	15.1%
32	4	0.5%
33	23	2.7%

Value	Count	Frequency (%)
24	4	2.1%
25	103	54.8%
26	13	6.9%
27	37	19.7%
28	159	84.6%
29	5	2.7%
30	22	11.7%
31	130	69.1%
32	4	2.1%
33	23	12.2%

Value	Count	Frequency (%)
25	35	4.1%
28	38	4.4%
31	39	4.5%
34	25	2.9%
37	24	2.8%
40	27	3.1%

drop_spacing
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	10	11
Distinct (%)	5.3%	1.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	12.446809	11.087007

	Original Dataset	Oversampled Dataset
Minimum	8	7
Maximum	17	17
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	8	7
5-th percentile	8	8
Q1	10	9
median	12	10
Q3	15	13
95-th percentile	17	17
Maximum	17	17
Range	9	10
Interquartile range (IQR)	5	4

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	2.892428	2.9242219
Coefficient of variation (CV)	0.2323831	0.26375215
Kurtosis	-1.2234632	-0.81352848
Mean	12.446809	11.087007
Median Absolute Deviation (MAD)	2	2
Skewness	0.062581913	0.6182005
Sum	2340	9557
Variance	8.3661395	8.5510737
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9	21	11.2%
12	20	10.6%
17	20	10.6%
10	19	10.1%
11	19	10.1%
13	19	10.1%
16	19	10.1%
8	18	9.6%
14	18	9.6%
15	15	8.0%

Value	Count	Frequency (%)
8	166	19.3%
9	145	16.8%
10	110	12.8%
11	91	10.6%
13	62	7.2%
12	57	6.6%
17	54	6.3%
16	52	6.0%
14	52	6.0%
15	43	5.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	18	9.6%
9	21	11.2%
10	19	10.1%
11	19	10.1%
12	20	10.6%
13	19	10.1%
14	18	9.6%
15	15	8.0%
16	19	10.1%
17	20	10.6%

Value	Count	Frequency (%)
7	30	3.5%
8	166	19.3%
9	145	16.8%
10	110	12.8%
11	91	10.6%
12	57	6.6%
13	62	7.2%
14	52	6.0%
15	43	5.0%
16	52	6.0%

Value	Count	Frequency (%)
7	30	16.0%
8	166	88.3%
9	145	77.1%
10	110	58.5%
11	91	48.4%
12	57	30.3%
13	62	33.0%
14	52	27.7%
15	43	22.9%
16	52	27.7%

Value	Count	Frequency (%)
8	18	2.1%
9	21	2.4%
10	19	2.2%
11	19	2.2%
12	20	2.3%
13	19	2.2%
14	18	2.1%
15	15	1.7%
16	19	2.2%
17	20	2.3%

distance
Categorical

	Original Dataset	Oversampled Dataset
Distinct	3	93
Distinct (%)	1.6%	10.8%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

900	139
300	47
270	2

900	486
300	164
270	7
885	7
905	7
Other values (88)	191

Length

	Original Dataset	Oversampled Dataset
Max length	3	3
Median length	3	3
Mean length	3	3
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	564	2586
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	39 ?
Unique (%)	0.0%	4.5%

Sample

	Original Dataset	Oversampled Dataset
1st row	270	885
2nd row	270	932
3rd row	300	905
4th row	300	916
5th row	300	890

Common Values

Value	Count	Frequency (%)
900	139	73.9%
300	47	25.0%
270	2	1.1%

Value	Count	Frequency (%)
900	486	56.4%
300	164	19.0%
270	7	0.8%
885	7	0.8%
905	7	0.8%
899	7	0.8%
911	5	0.6%
894	5	0.6%
897	5	0.6%
917	5	0.6%
Other values (83)	164	19.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
900	139	73.9%
300	47	25.0%
270	2	1.1%

Value	Count	Frequency (%)
900	486	56.4%
300	164	19.0%
270	7	0.8%
885	7	0.8%
905	7	0.8%
899	7	0.8%
911	5	0.6%
894	5	0.6%
897	5	0.6%
917	5	0.6%
Other values (83)	164	19.0%

Most occurring characters

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1347	52.1%
9	629	24.3%
3	197	7.6%
8	152	5.9%
2	70	2.7%
7	54	2.1%
1	54	2.1%
6	31	1.2%
5	28	1.1%
4	24	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564	100.0%

Value	Count	Frequency (%)
Decimal Number	2586	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1347	52.1%
9	629	24.3%
3	197	7.6%
8	152	5.9%
2	70	2.7%
7	54	2.1%
1	54	2.1%
6	31	1.2%
5	28	1.1%
4	24	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	564	100.0%

Value	Count	Frequency (%)
Common	2586	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1347	52.1%
9	629	24.3%
3	197	7.6%
8	152	5.9%
2	70	2.7%
7	54	2.1%
1	54	2.1%
6	31	1.2%
5	28	1.1%
4	24	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	564	100.0%

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	374	66.3%
9	139	24.6%
3	47	8.3%
2	2	0.4%
7	2	0.4%

Value	Count	Frequency (%)
0	1347	52.1%
9	629	24.3%
3	197	7.6%
8	152	5.9%
2	70	2.7%
7	54	2.1%
1	54	2.1%
6	31	1.2%
5	28	1.1%
4	24	0.9%

time
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	63	418
Distinct (%)	33.5%	48.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	71.138298	70.545258

	Original Dataset	Oversampled Dataset
Minimum	31	29.37895
Maximum	130	130
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	31	29.37895
5-th percentile	34	34
Q1	45	58.190627
median	69	69
Q3	89.25	88.886167
95-th percentile	111.25	108
Maximum	130	130
Range	99	100.62105
Interquartile range (IQR)	44.25	30.69554

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	24.68826	23.94049
Coefficient of variation (CV)	0.34704598	0.33936357
Kurtosis	-0.82393317	-0.86428222
Mean	71.138298	70.545258
Median Absolute Deviation (MAD)	21.5	19
Skewness	0.16926931	0.068783337
Sum	13374	60810.012
Variance	609.51018	573.14707
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78	9	4.8%
44	9	4.8%
66	8	4.3%
96	8	4.3%
38	8	4.3%
63	7	3.7%
107	6	3.2%
61	6	3.2%
83	5	2.7%
60	5	2.7%
Other values (53)	117	62.2%

Value	Count	Frequency (%)
78	30	3.5%
61	26	3.0%
44	21	2.4%
34	21	2.4%
66	20	2.3%
96	19	2.2%
38	18	2.1%
63	17	2.0%
107	17	2.0%
83	13	1.5%
Other values (408)	660	76.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
31	2	1.1%
32	4	2.1%
34	5	2.7%
35	1	0.5%
36	2	1.1%
37	2	1.1%
38	8	4.3%
39	1	0.5%
40	4	2.1%
41	2	1.1%

Value	Count	Frequency (%)
29.37895013	1	0.1%
31	5	0.6%
31.30534251	1	0.1%
31.46443976	1	0.1%
31.62718419	1	0.1%
31.76417297	1	0.1%
31.99393802	1	0.1%
32	11	1.3%
32.08223617	1	0.1%
32.56794451	1	0.1%

Value	Count	Frequency (%)
29.37895013	1	0.5%
31	5	2.7%
31.30534251	1	0.5%
31.46443976	1	0.5%
31.62718419	1	0.5%
31.76417297	1	0.5%
31.99393802	1	0.5%
32	11	5.9%
32.08223617	1	0.5%
32.56794451	1	0.5%

Value	Count	Frequency (%)
31	2	0.2%
32	4	0.5%
34	5	0.6%
35	1	0.1%
36	2	0.2%
37	2	0.2%
38	8	0.9%
39	1	0.1%
40	4	0.5%
41	2	0.2%

velocity
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	73	436
Distinct (%)	38.8%	50.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	10.462428	10.698038

	Original Dataset	Oversampled Dataset
Minimum	6.667	6.5215865
Maximum	15.517241	15.517241
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	6.667	6.5215865
5-th percentile	6.818	6.977
Q1	8.27675	8.411215
median	9.945	10.229517
Q3	12.9035	13.061486
95-th percentile	14.9139	14.881777
Maximum	15.517241	15.517241
Range	8.8502414	8.9956549
Interquartile range (IQR)	4.62675	4.6502713

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	2.6390637	2.563894
Coefficient of variation (CV)	0.25224199	0.2396602
Kurtosis	-1.181831	-1.2513327
Mean	10.462428	10.698038
Median Absolute Deviation (MAD)	2.05	2.0994828
Skewness	0.32023116	0.24287202
Sum	1966.9365	9221.7091
Variance	6.9646573	6.5735526
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.375	12	6.4%
6.818	9	4.8%
11.538	9	4.8%
13.636	6	3.2%
7.895	6	3.2%
14.754	6	3.2%
10.843	5	2.7%
15	5	2.7%
8.411214953	5	2.7%
10.345	5	2.7%
Other values (63)	120	63.8%

Value	Count	Frequency (%)
11.538	30	3.5%
9.375	30	3.5%
14.754	26	3.0%
6.818	21	2.4%
13.636	14	1.6%
8.411214953	14	1.6%
7.895	13	1.5%
15	13	1.5%
10.843	13	1.5%
13.043	11	1.3%
Other values (426)	677	78.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.667	4	2.1%
6.818	9	4.8%
6.923	2	1.1%
6.976744186	1	0.5%
6.977	2	1.1%
7.142857143	1	0.5%
7.143	2	1.1%
7.317	1	0.5%
7.317073171	1	0.5%
7.5	4	2.1%

Value	Count	Frequency (%)
6.521586489	1	0.1%
6.667	10	1.2%
6.693525798	1	0.1%
6.818	21	2.4%
6.868515188	1	0.1%
6.911431133	1	0.1%
6.912361405	1	0.1%
6.923	4	0.5%
6.966472375	1	0.1%
6.976744186	1	0.1%

Value	Count	Frequency (%)
6.521586489	1	0.5%
6.667	10	5.3%
6.693525798	1	0.5%
6.818	21	11.2%
6.868515188	1	0.5%
6.911431133	1	0.5%
6.912361405	1	0.5%
6.923	4	2.1%
6.966472375	1	0.5%
6.976744186	1	0.5%

Value	Count	Frequency (%)
6.667	4	0.5%
6.818	9	1.0%
6.923	2	0.2%
6.976744186	1	0.1%
6.977	2	0.2%
7.142857143	1	0.1%
7.143	2	0.2%
7.317	1	0.1%
7.317073171	1	0.1%
7.5	4	0.5%

ink_visco_cp
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	220
Distinct (%)	1.1%	25.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

6.9	140
6.3	48

6.9	478
6.3	166
6.888742912918097	1
6.303726622667084	1
6.904829801179935	1
Other values (215)	215

Length

	Original Dataset	Oversampled Dataset
Max length	3	18
Median length	3	3
Mean length	3	6.5382831
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	564	5636
Distinct characters	4	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	218 ?
Unique (%)	0.0%	25.3%

Sample

	Original Dataset	Oversampled Dataset
1st row	6.3	6.888742912918097
2nd row	6.3	6.893399508815485
3rd row	6.3	6.887352564552868
4th row	6.3	6.891240628049628
5th row	6.3	6.910622627084694

Common Values

Value	Count	Frequency (%)
6.9	140	74.5%
6.3	48	25.5%

Value	Count	Frequency (%)
6.9	478	55.5%
6.3	166	19.3%
6.888742912918097	1	0.1%
6.303726622667084	1	0.1%
6.904829801179935	1	0.1%
6.884262069178429	1	0.1%
6.8932259500224955	1	0.1%
6.904776849219869	1	0.1%
6.903967139609121	1	0.1%
6.909098073100913	1	0.1%
Other values (210)	210	24.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
6.9	140	74.5%
6.3	48	25.5%

Value	Count	Frequency (%)
6.9	478	55.5%
6.3	166	19.3%
6.290514817904113	1	0.1%
6.309679703483194	1	0.1%
6.3052666129718355	1	0.1%
6.298005557129865	1	0.1%
6.29406572012702	1	0.1%
6.887352564552868	1	0.1%
6.891240628049628	1	0.1%
6.910622627084694	1	0.1%
Other values (210)	210	24.4%

Most occurring characters

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1166	20.7%
9	898	15.9%
.	862	15.3%
3	483	8.6%
8	380	6.7%
2	348	6.2%
0	318	5.6%
1	310	5.5%
7	295	5.2%
4	294	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	376	66.7%
Other Punctuation	188	33.3%

Value	Count	Frequency (%)
Decimal Number	4774	84.7%
Other Punctuation	862	15.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	188	50.0%
9	140	37.2%
3	48	12.8%

Value	Count	Frequency (%)
6	1166	24.4%
9	898	18.8%
3	483	10.1%
8	380	8.0%
2	348	7.3%
0	318	6.7%
1	310	6.5%
7	295	6.2%
4	294	6.2%
5	282	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	564	100.0%

Value	Count	Frequency (%)
Common	5636	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1166	20.7%
9	898	15.9%
.	862	15.3%
3	483	8.6%
8	380	6.7%
2	348	6.2%
0	318	5.6%
1	310	5.5%
7	295	5.2%
4	294	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	564	100.0%

Value	Count	Frequency (%)
ASCII	5636	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	188	33.3%
.	188	33.3%
9	140	24.8%
3	48	8.5%

Value	Count	Frequency (%)
6	1166	20.7%
9	898	15.9%
.	862	15.3%
3	483	8.6%
8	380	6.7%
2	348	6.2%
0	318	5.6%
1	310	5.5%
7	295	5.2%
4	294	5.2%

ink_visco_pas
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	220
Distinct (%)	1.1%	25.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

0.0069	140
0.0063	48

0.0069	478
0.0063	166
0.006903595461368387	1
0.006286979594108262	1
0.006884431627196074	1
Other values (215)	215

Length

	Original Dataset	Oversampled Dataset
Max length	6	21
Median length	6	6
Mean length	6	9.5556845
Min length	6	6

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	1128	8237
Distinct characters	5	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	218 ?
Unique (%)	0.0%	25.3%

Sample

	Original Dataset	Oversampled Dataset
1st row	0.0063	0.006903595461368387
2nd row	0.0063	0.0068775336775216645
3rd row	0.0063	0.0069227014084642415
4th row	0.0063	0.006902995037935769
5th row	0.0063	0.006890096759076731

Common Values

Value	Count	Frequency (%)
0.0069	140	74.5%
0.0063	48	25.5%

Value	Count	Frequency (%)
0.0069	478	55.5%
0.0063	166	19.3%
0.006903595461368387	1	0.1%
0.006286979594108262	1	0.1%
0.006884431627196074	1	0.1%
0.006904137999694823	1	0.1%
0.006895696467744304	1	0.1%
0.006914235760015329	1	0.1%
0.006920817222662482	1	0.1%
0.006913285273365126	1	0.1%
Other values (210)	210	24.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
0.0069	140	74.5%
0.0063	48	25.5%

Value	Count	Frequency (%)
0.0069	478	55.5%
0.0063	166	19.3%
0.006273510036654438	1	0.1%
0.006339592513855169	1	0.1%
0.006301127524764602	1	0.1%
0.00628356097808503	1	0.1%
0.006307181349639772	1	0.1%
0.0069227014084642415	1	0.1%
0.006902995037935769	1	0.1%
0.006890096759076731	1	0.1%
Other values (210)	210	24.4%

Most occurring characters

Value	Count	Frequency (%)
0	564	50.0%
.	188	16.7%
6	188	16.7%
9	140	12.4%
3	48	4.3%

Value	Count	Frequency (%)
0	2931	35.6%
6	1149	13.9%
9	871	10.6%
.	862	10.5%
3	522	6.3%
8	375	4.6%
2	314	3.8%
1	310	3.8%
5	307	3.7%
4	304	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	940	83.3%
Other Punctuation	188	16.7%

Value	Count	Frequency (%)
Decimal Number	7375	89.5%
Other Punctuation	862	10.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	564	60.0%
6	188	20.0%
9	140	14.9%
3	48	5.1%

Value	Count	Frequency (%)
0	2931	39.7%
6	1149	15.6%
9	871	11.8%
3	522	7.1%
8	375	5.1%
2	314	4.3%
1	310	4.2%
5	307	4.2%
4	304	4.1%
7	292	4.0%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1128	100.0%

Value	Count	Frequency (%)
Common	8237	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	564	50.0%
.	188	16.7%
6	188	16.7%
9	140	12.4%
3	48	4.3%

Value	Count	Frequency (%)
0	2931	35.6%
6	1149	13.9%
9	871	10.6%
.	862	10.5%
3	522	6.3%
8	375	4.6%
2	314	3.8%
1	310	3.8%
5	307	3.7%
4	304	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1128	100.0%

Value	Count	Frequency (%)
ASCII	8237	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	564	50.0%
.	188	16.7%
6	188	16.7%
9	140	12.4%
3	48	4.3%

Value	Count	Frequency (%)
0	2931	35.6%
6	1149	13.9%
9	871	10.6%
.	862	10.5%
3	522	6.3%
8	375	4.6%
2	314	3.8%
1	310	3.8%
5	307	3.7%
4	304	3.7%

surface_tension_dyne_cm
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	220
Distinct (%)	1.1%	25.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

32.3	140
30.9	48

32.3	478
30.9	166
32.34783906043541	1
30.87347925930446	1
32.280776397308834	1
Other values (215)	215

Length

	Original Dataset	Oversampled Dataset
Max length	4	18
Median length	4	4
Mean length	4	7.3805104
Min length	4	4

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	752	6362
Distinct characters	5	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	218 ?
Unique (%)	0.0%	25.3%

Sample

	Original Dataset	Oversampled Dataset
1st row	30.9	32.34783906043541
2nd row	30.9	32.283624138681425
3rd row	30.9	32.337865651592175
4th row	30.9	32.28298077255031
5th row	30.9	32.2537409056809

Common Values

Value	Count	Frequency (%)
32.3	140	74.5%
30.9	48	25.5%

Value	Count	Frequency (%)
32.3	478	55.5%
30.9	166	19.3%
32.34783906043541	1	0.1%
30.87347925930446	1	0.1%
32.280776397308834	1	0.1%
32.306511899682114	1	0.1%
32.262919873546714	1	0.1%
32.284377190837326	1	0.1%
32.30019294664489	1	0.1%
32.33288657620021	1	0.1%
Other values (210)	210	24.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
32.3	140	74.5%
30.9	48	25.5%

Value	Count	Frequency (%)
32.3	478	55.5%
30.9	166	19.3%
30.814474082757403	1	0.1%
30.988164225060828	1	0.1%
30.92520628554013	1	0.1%
30.8970740223528	1	0.1%
30.873991364523544	1	0.1%
32.337865651592175	1	0.1%
32.28298077255031	1	0.1%
32.2537409056809	1	0.1%
Other values (210)	210	24.4%

Most occurring characters

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1697	26.7%
2	984	15.5%
.	862	13.5%
0	501	7.9%
9	457	7.2%
8	332	5.2%
1	314	4.9%
4	309	4.9%
6	305	4.8%
7	303	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564	75.0%
Other Punctuation	188	25.0%

Value	Count	Frequency (%)
Decimal Number	5500	86.5%
Other Punctuation	862	13.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	328	58.2%
2	140	24.8%
0	48	8.5%
9	48	8.5%

Value	Count	Frequency (%)
3	1697	30.9%
2	984	17.9%
0	501	9.1%
9	457	8.3%
8	332	6.0%
1	314	5.7%
4	309	5.6%
6	305	5.5%
7	303	5.5%
5	298	5.4%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	752	100.0%

Value	Count	Frequency (%)
Common	6362	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1697	26.7%
2	984	15.5%
.	862	13.5%
0	501	7.9%
9	457	7.2%
8	332	5.2%
1	314	4.9%
4	309	4.9%
6	305	4.8%
7	303	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	752	100.0%

Value	Count	Frequency (%)
ASCII	6362	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	328	43.6%
.	188	25.0%
2	140	18.6%
0	48	6.4%
9	48	6.4%

Value	Count	Frequency (%)
3	1697	26.7%
2	984	15.5%
.	862	13.5%
0	501	7.9%
9	457	7.2%
8	332	5.2%
1	314	4.9%
4	309	4.9%
6	305	4.8%
7	303	4.8%

surface_tension_n_m
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	220
Distinct (%)	1.1%	25.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

0.0323	140
0.0309	48

0.0323	478
0.0309	166
0.032268260776017396	1
0.030943580197493412	1
0.03232251169711175	1
Other values (215)	215

Length

	Original Dataset	Oversampled Dataset
Max length	6	20
Median length	6	6
Mean length	6	9.3851508
Min length	6	6

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	1128	8090
Distinct characters	5	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	218 ?
Unique (%)	0.0%	25.3%

Sample

	Original Dataset	Oversampled Dataset
1st row	0.0309	0.032268260776017396
2nd row	0.0309	0.03229541837982759
3rd row	0.0309	0.03224684230677582
4th row	0.0309	0.03223572597987773
5th row	0.0309	0.0323163591276323

Common Values

Value	Count	Frequency (%)
0.0323	140	74.5%
0.0309	48	25.5%

Value	Count	Frequency (%)
0.0323	478	55.5%
0.0309	166	19.3%
0.032268260776017396	1	0.1%
0.030943580197493412	1	0.1%
0.03232251169711175	1	0.1%
0.03231302897910061	1	0.1%
0.03227172213615031	1	0.1%
0.03227222592570511	1	0.1%
0.03229562766064959	1	0.1%
0.03225126470119788	1	0.1%
Other values (210)	210	24.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
0.0323	140	74.5%
0.0309	48	25.5%

Value	Count	Frequency (%)
0.0323	478	55.5%
0.0309	166	19.3%
0.03085860650387104	1	0.1%
0.030897142938943228	1	0.1%
0.030854761944449218	1	0.1%
0.030854547220732907	1	0.1%
0.030908430277787283	1	0.1%
0.03224684230677582	1	0.1%
0.03223572597987773	1	0.1%
0.0323163591276323	1	0.1%
Other values (210)	210	24.4%

Most occurring characters

Value	Count	Frequency (%)
0	424	37.6%
3	328	29.1%
.	188	16.7%
2	140	12.4%
9	48	4.3%

Value	Count	Frequency (%)
0	2197	27.2%
3	1681	20.8%
2	997	12.3%
.	862	10.7%
9	470	5.8%
5	339	4.2%
8	322	4.0%
4	320	4.0%
7	308	3.8%
6	299	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	940	83.3%
Other Punctuation	188	16.7%

Value	Count	Frequency (%)
Decimal Number	7228	89.3%
Other Punctuation	862	10.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	424	45.1%
3	328	34.9%
2	140	14.9%
9	48	5.1%

Value	Count	Frequency (%)
0	2197	30.4%
3	1681	23.3%
2	997	13.8%
9	470	6.5%
5	339	4.7%
8	322	4.5%
4	320	4.4%
7	308	4.3%
6	299	4.1%
1	295	4.1%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1128	100.0%

Value	Count	Frequency (%)
Common	8090	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	424	37.6%
3	328	29.1%
.	188	16.7%
2	140	12.4%
9	48	4.3%

Value	Count	Frequency (%)
0	2197	27.2%
3	1681	20.8%
2	997	12.3%
.	862	10.7%
9	470	5.8%
5	339	4.2%
8	322	4.0%
4	320	4.0%
7	308	3.8%
6	299	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1128	100.0%

Value	Count	Frequency (%)
ASCII	8090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	424	37.6%
3	328	29.1%
.	188	16.7%
2	140	12.4%
9	48	4.3%

Value	Count	Frequency (%)
0	2197	27.2%
3	1681	20.8%
2	997	12.3%
.	862	10.7%
9	470	5.8%
5	339	4.2%
8	322	4.0%
4	320	4.0%
7	308	3.8%
6	299	3.7%

ink _density
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	51
Distinct (%)	1.1%	5.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

1614	140
1517	48

1614	503
1517	174
1613	24
1612	16
1611	14
Other values (46)	131

Length

	Original Dataset	Oversampled Dataset
Max length	4	4
Median length	4	4
Mean length	4	4
Min length	4	4

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	752	3448
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	27 ?
Unique (%)	0.0%	3.1%

Sample

	Original Dataset	Oversampled Dataset
1st row	1517	1620
2nd row	1517	1621
3rd row	1517	1613
4th row	1517	1611
5th row	1517	1614

Common Values

Value	Count	Frequency (%)
1614	140	74.5%
1517	48	25.5%

Value	Count	Frequency (%)
1614	503	58.4%
1517	174	20.2%
1613	24	2.8%
1612	16	1.9%
1611	14	1.6%
1616	14	1.6%
1615	14	1.6%
1610	10	1.2%
1617	9	1.0%
1519	7	0.8%
Other values (41)	77	8.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
1614	140	74.5%
1517	48	25.5%

Value	Count	Frequency (%)
1614	503	58.4%
1517	174	20.2%
1613	24	2.8%
1612	16	1.9%
1611	14	1.6%
1616	14	1.6%
1615	14	1.6%
1610	10	1.2%
1617	9	1.0%
1519	7	0.8%
Other values (41)	77	8.9%

Most occurring characters

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1702	49.4%
6	649	18.8%
4	512	14.8%
5	263	7.6%
7	187	5.4%
3	36	1.0%
2	32	0.9%
0	27	0.8%
8	21	0.6%
9	19	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	752	100.0%

Value	Count	Frequency (%)
Decimal Number	3448	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1702	49.4%
6	649	18.8%
4	512	14.8%
5	263	7.6%
7	187	5.4%
3	36	1.0%
2	32	0.9%
0	27	0.8%
8	21	0.6%
9	19	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	752	100.0%

Value	Count	Frequency (%)
Common	3448	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1702	49.4%
6	649	18.8%
4	512	14.8%
5	263	7.6%
7	187	5.4%
3	36	1.0%
2	32	0.9%
0	27	0.8%
8	21	0.6%
9	19	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	752	100.0%

Value	Count	Frequency (%)
ASCII	3448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	376	50.0%
6	140	18.6%
4	140	18.6%
5	48	6.4%
7	48	6.4%

Value	Count	Frequency (%)
1	1702	49.4%
6	649	18.8%
4	512	14.8%
5	263	7.6%
7	187	5.4%
3	36	1.0%
2	32	0.9%
0	27	0.8%
8	21	0.6%
9	19	0.6%

z_number
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	220
Distinct (%)	1.1%	25.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

4.852026516	140
5.039073704	48

4.852026516	478
5.039073704	166
4.856875888161474	1
5.03703986974655	1
4.851110241274762	1
Other values (215)	215

Length

	Original Dataset	Oversampled Dataset
Max length	11	18
Median length	11	11
Mean length	11	12.518561
Min length	11	11

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	2068	10791
Distinct characters	11	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	218 ?
Unique (%)	0.0%	25.3%

Sample

	Original Dataset	Oversampled Dataset
1st row	5.039073704	4.856875888161474
2nd row	5.039073704	4.84609410928064
3rd row	5.039073704	4.856909959843857
4th row	5.039073704	4.8536827443158765
5th row	5.039073704	4.838554282298314

Common Values

Value	Count	Frequency (%)
4.852026516	140	74.5%
5.039073704	48	25.5%

Value	Count	Frequency (%)
4.852026516	478	55.5%
5.039073704	166	19.3%
4.856875888161474	1	0.1%
5.03703986974655	1	0.1%
4.851110241274762	1	0.1%
4.855038331302581	1	0.1%
4.848046787564382	1	0.1%
4.850463780009655	1	0.1%
4.846939373768291	1	0.1%
4.85018017737832	1	0.1%
Other values (210)	210	24.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
4.852026516	140	74.5%
5.039073704	48	25.5%

Value	Count	Frequency (%)
4.852026516	478	55.5%
5.039073704	166	19.3%
5.0253831383447025	1	0.1%
5.040709795156401	1	0.1%
5.039974089921142	1	0.1%
5.048773466730579	1	0.1%
5.038596387555407	1	0.1%
4.856909959843857	1	0.1%
4.8536827443158765	1	0.1%
4.838554282298314	1	0.1%
Other values (210)	210	24.4%

Most occurring characters

Value	Count	Frequency (%)
5	328	15.9%
0	284	13.7%
2	280	13.5%
6	280	13.5%
4	188	9.1%
.	188	9.1%
8	140	6.8%
1	140	6.8%
3	96	4.6%
7	96	4.6%

Value	Count	Frequency (%)
5	1567	14.5%
0	1272	11.8%
6	1248	11.6%
2	1243	11.5%
4	1165	10.8%
8	916	8.5%
.	862	8.0%
1	743	6.9%
3	681	6.3%
7	601	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1880	90.9%
Other Punctuation	188	9.1%

Value	Count	Frequency (%)
Decimal Number	9929	92.0%
Other Punctuation	862	8.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	328	17.4%
0	284	15.1%
2	280	14.9%
6	280	14.9%
4	188	10.0%
8	140	7.4%
1	140	7.4%
3	96	5.1%
7	96	5.1%
9	48	2.6%

Value	Count	Frequency (%)
5	1567	15.8%
0	1272	12.8%
6	1248	12.6%
2	1243	12.5%
4	1165	11.7%
8	916	9.2%
1	743	7.5%
3	681	6.9%
7	601	6.1%
9	493	5.0%

Other Punctuation

Value	Count	Frequency (%)
.	188	100.0%

Value	Count	Frequency (%)
.	862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2068	100.0%

Value	Count	Frequency (%)
Common	10791	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	328	15.9%
0	284	13.7%
2	280	13.5%
6	280	13.5%
4	188	9.1%
.	188	9.1%
8	140	6.8%
1	140	6.8%
3	96	4.6%
7	96	4.6%

Value	Count	Frequency (%)
5	1567	14.5%
0	1272	11.8%
6	1248	11.6%
2	1243	11.5%
4	1165	10.8%
8	916	8.5%
.	862	8.0%
1	743	6.9%
3	681	6.3%
7	601	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2068	100.0%

Value	Count	Frequency (%)
ASCII	10791	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	328	15.9%
0	284	13.7%
2	280	13.5%
6	280	13.5%
4	188	9.1%
.	188	9.1%
8	140	6.8%
1	140	6.8%
3	96	4.6%
7	96	4.6%

Value	Count	Frequency (%)
5	1567	14.5%
0	1272	11.8%
6	1248	11.6%
2	1243	11.5%
4	1165	10.8%
8	916	8.5%
.	862	8.0%
1	743	6.9%
3	681	6.3%
7	601	5.6%

line_width
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	100	160
Distinct (%)	53.2%	18.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	229.3617	252.91415

	Original Dataset	Oversampled Dataset
Minimum	112	112
Maximum	391	394
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	112	112
5-th percentile	179	183
Q1	194	210
median	222.5	254
Q3	260	294.75
95-th percentile	305.65	321.95
Maximum	391	394
Range	279	282
Interquartile range (IQR)	66	84.75

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	43.833631	49.024463
Coefficient of variation (CV)	0.19111138	0.19383835
Kurtosis	0.33187771	-0.59429805
Mean	229.3617	252.91415
Median Absolute Deviation (MAD)	31.5	42
Skewness	0.57550192	0.10623233
Sum	43120	218012
Variance	1921.3872	2403.398
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
191	5	2.7%
194	4	2.1%
183	4	2.1%
193	4	2.1%
224	4	2.1%
203	4	2.1%
232	4	2.1%
204	4	2.1%
207	4	2.1%
185	4	2.1%
Other values (90)	147	78.2%

Value	Count	Frequency (%)
305	17	2.0%
303	17	2.0%
288	16	1.9%
321	14	1.6%
232	13	1.5%
225	13	1.5%
259	12	1.4%
254	11	1.3%
185	11	1.3%
207	11	1.3%
Other values (150)	727	84.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
112	1	0.5%
123	1	0.5%
142	1	0.5%
163	1	0.5%
167	1	0.5%
176	1	0.5%
177	1	0.5%
178	1	0.5%
179	3	1.6%
180	2	1.1%

Value	Count	Frequency (%)
112	2	0.2%
123	2	0.2%
142	2	0.2%
163	2	0.2%
167	3	0.3%
176	3	0.3%
177	3	0.3%
178	3	0.3%
179	6	0.7%
180	6	0.7%

Value	Count	Frequency (%)
112	2	1.1%
123	2	1.1%
142	2	1.1%
163	2	1.1%
167	3	1.6%
176	3	1.6%
177	3	1.6%
178	3	1.6%
179	6	3.2%
180	6	3.2%

Value	Count	Frequency (%)
112	1	0.1%
123	1	0.1%
142	1	0.1%
163	1	0.1%
167	1	0.1%
176	1	0.1%
177	1	0.1%
178	1	0.1%
179	3	0.3%
180	2	0.2%

overspray
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	119	269
Distinct (%)	63.3%	31.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	104.83511	140.2181

	Original Dataset	Oversampled Dataset
Minimum	0	0
Maximum	415	419
Zeros	8	21
Zeros (%)	4.3%	2.4%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	0	0
5-th percentile	1	3
Q1	16	32
median	59	101
Q3	169	242
95-th percentile	341.6	367.8
Maximum	415	419
Range	415	419
Interquartile range (IQR)	153	210

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	110.08344	121.46756
Coefficient of variation (CV)	1.0500627	0.86627591
Kurtosis	0.28180928	-0.92830923
Mean	104.83511	140.2181
Median Absolute Deviation (MAD)	49	88.5
Skewness	1.1385965	0.59244514
Sum	19709	120868
Variance	12118.363	14754.368
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8	4.3%
10	5	2.7%
91	5	2.7%
3	5	2.7%
7	4	2.1%
47	4	2.1%
32	4	2.1%
220	4	2.1%
24	3	1.6%
5	3	1.6%
Other values (109)	143	76.1%

Value	Count	Frequency (%)
0	21	2.4%
10	17	2.0%
3	14	1.6%
47	14	1.6%
91	13	1.5%
32	12	1.4%
220	12	1.4%
201	11	1.3%
28	10	1.2%
7	10	1.2%
Other values (259)	728	84.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	4.3%
1	3	1.6%
2	3	1.6%
3	5	2.7%
4	1	0.5%
5	3	1.6%
6	1	0.5%
7	4	2.1%
8	2	1.1%
9	1	0.5%

Value	Count	Frequency (%)
0	21	2.4%
1	6	0.7%
2	9	1.0%
3	14	1.6%
4	3	0.3%
5	7	0.8%
6	4	0.5%
7	10	1.2%
8	5	0.6%
9	3	0.3%

Value	Count	Frequency (%)
0	21	11.2%
1	6	3.2%
2	9	4.8%
3	14	7.4%
4	3	1.6%
5	7	3.7%
6	4	2.1%
7	10	5.3%
8	5	2.7%
9	3	1.6%

Value	Count	Frequency (%)
0	8	0.9%
1	3	0.3%
2	3	0.3%
3	5	0.6%
4	1	0.1%
5	3	0.3%
6	1	0.1%
7	4	0.5%
8	2	0.2%
9	1	0.1%

roughness
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	94	133
Distinct (%)	50.0%	15.4%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	98.037234	112.64037

	Original Dataset	Oversampled Dataset
Minimum	43	43
Maximum	192	228
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	1.6 KiB	13.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	43	43
5-th percentile	58.35	63
Q1	75	82
median	91	111
Q3	117.25	143
95-th percentile	152.65	163
Maximum	192	228
Range	149	185
Interquartile range (IQR)	42.25	61

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	30.766043	34.881524
Coefficient of variation (CV)	0.31381998	0.3096716
Kurtosis	0.11304357	-0.72872629
Mean	98.037234	112.64037
Median Absolute Deviation (MAD)	19	31
Skewness	0.73342434	0.17916157
Sum	18431	97096
Variance	946.54941	1216.7207
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	8	4.3%
68	8	4.3%
73	6	3.2%
99	6	3.2%
84	6	3.2%
75	5	2.7%
85	5	2.7%
108	5	2.7%
72	5	2.7%
117	4	2.1%
Other values (84)	130	69.1%

Value	Count	Frequency (%)
77	23	2.7%
99	22	2.6%
73	19	2.2%
147	18	2.1%
68	18	2.1%
84	17	2.0%
145	17	2.0%
117	16	1.9%
85	16	1.9%
153	15	1.7%
Other values (123)	681	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
43	1	0.5%
44	1	0.5%
45	1	0.5%
48	2	1.1%
49	2	1.1%
54	1	0.5%
57	1	0.5%
58	1	0.5%
59	1	0.5%
60	1	0.5%

Value	Count	Frequency (%)
43	1	0.1%
44	2	0.2%
45	4	0.5%
47	1	0.1%
48	5	0.6%
49	7	0.8%
51	1	0.1%
53	1	0.1%
54	3	0.3%
55	1	0.1%

Value	Count	Frequency (%)
43	1	0.5%
44	2	1.1%
45	4	2.1%
47	1	0.5%
48	5	2.7%
49	7	3.7%
51	1	0.5%
53	1	0.5%
54	3	1.6%
55	1	0.5%

Value	Count	Frequency (%)
43	1	0.1%
44	1	0.1%
45	1	0.1%
48	2	0.2%
49	2	0.2%
54	1	0.1%
57	1	0.1%
58	1	0.1%
59	1	0.1%
60	1	0.1%

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Heatmap
Table

	nozzle_voltage	drop_spacing	time	velocity	line_width	overspray	roughness	print_height	distance	ink_visco_cp	ink_visco_pas	surface_tension_dyne_cm	surface_tension_n_m	ink _density	z_number
nozzle_voltage	1.000	-0.020	0.108	0.968	0.258	0.048	0.099	0.137	0.562	0.084	0.084	0.084	0.084	0.084	0.084
drop_spacing	-0.020	1.000	0.067	-0.041	-0.758	-0.276	-0.508	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
time	0.108	0.067	1.000	0.023	-0.042	-0.067	-0.122	0.439	0.687	0.275	0.275	0.275	0.275	0.275	0.275
velocity	0.968	-0.041	0.023	1.000	0.300	0.062	0.136	0.272	0.482	0.278	0.278	0.278	0.278	0.278	0.278
line_width	0.258	-0.758	-0.042	0.300	1.000	0.290	0.619	0.035	0.000	0.000	0.000	0.000	0.000	0.000	0.000
overspray	0.048	-0.276	-0.067	0.062	0.290	1.000	0.229	0.205	0.000	0.198	0.198	0.198	0.198	0.198	0.198
roughness	0.099	-0.508	-0.122	0.136	0.619	0.229	1.000	0.160	0.202	0.271	0.271	0.271	0.271	0.271	0.271
print_height	0.137	0.000	0.439	0.272	0.035	0.205	0.160	1.000	0.149	0.904	0.904	0.904	0.904	0.904	0.904
distance	0.562	0.000	0.687	0.482	0.000	0.000	0.202	0.149	1.000	0.151	0.151	0.151	0.151	0.151	0.151
ink_visco_cp	0.084	0.000	0.275	0.278	0.000	0.198	0.271	0.904	0.151	1.000	0.986	0.986	0.986	0.986	0.986
ink_visco_pas	0.084	0.000	0.275	0.278	0.000	0.198	0.271	0.904	0.151	0.986	1.000	0.986	0.986	0.986	0.986
surface_tension_dyne_cm	0.084	0.000	0.275	0.278	0.000	0.198	0.271	0.904	0.151	0.986	0.986	1.000	0.986	0.986	0.986
surface_tension_n_m	0.084	0.000	0.275	0.278	0.000	0.198	0.271	0.904	0.151	0.986	0.986	0.986	1.000	0.986	0.986
ink _density	0.084	0.000	0.275	0.278	0.000	0.198	0.271	0.904	0.151	0.986	0.986	0.986	0.986	1.000	0.986
z_number	0.084	0.000	0.275	0.278	0.000	0.198	0.271	0.904	0.151	0.986	0.986	0.986	0.986	0.986	1.000

Count
Matrix

Original Dataset

A simple visualization of nullity by column.

Oversampled Dataset

A simple visualization of nullity by column.

Original Dataset

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Oversampled Dataset

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

Original Dataset

	print_height	nozzle_voltage	drop_spacing	distance	time	velocity	ink_visco_cp	ink_visco_pas	surface_tension_dyne_cm	surface_tension_n_m	ink _density	z_number	line_width	overspray	roughness
0	800	25	8	270	34.0	7.941	6.3	0.0063	30.9	0.0309	1517	5.039074	294	12	164
1	800	25	9	270	34.0	7.941	6.3	0.0063	30.9	0.0309	1517	5.039074	261	136	141
2	800	25	10	300	38.0	7.895	6.3	0.0063	30.9	0.0309	1517	5.039074	218	11	103
3	800	25	11	300	44.0	6.818	6.3	0.0063	30.9	0.0309	1517	5.039074	190	15	68
4	800	25	12	300	41.0	7.317	6.3	0.0063	30.9	0.0309	1517	5.039074	190	91	90
5	750	25	13	300	40.0	7.500	6.9	0.0069	32.3	0.0323	1614	4.852027	180	0	62
6	800	25	15	300	38.0	7.895	6.9	0.0069	32.3	0.0323	1614	4.852027	178	80	82
7	800	25	16	300	43.0	6.977	6.3	0.0063	30.9	0.0309	1517	5.039074	185	24	145
8	800	25	17	300	43.0	6.977	6.3	0.0063	30.9	0.0309	1517	5.039074	213	50	161
9	800	28	8	300	34.0	8.824	6.3	0.0063	30.9	0.0309	1517	5.039074	323	8	171

Oversampled Dataset

	print_height	nozzle_voltage	drop_spacing	distance	time	velocity	ink_visco_cp	ink_visco_pas	surface_tension_dyne_cm	surface_tension_n_m	ink _density	z_number	line_width	overspray	roughness
0	702	36	11	885	67.703259	14.138936	6.888743	0.006904	32.347839	0.032268	1620	4.856876	285	104	118
1	702	37	11	932	62.307419	14.255935	6.893400	0.006878	32.283624	0.032295	1621	4.846094	287	99	115
2	696	37	11	905	59.198983	14.246600	6.887353	0.006923	32.337866	0.032247	1613	4.856910	284	99	119
3	703	37	11	916	60.304349	14.021466	6.891241	0.006903	32.282981	0.032236	1611	4.853683	288	99	117
4	698	36	10	890	62.489212	14.279097	6.910623	0.006890	32.253741	0.032316	1614	4.838554	283	102	118
5	646	31	9	893	94.863061	9.788647	6.895773	0.006880	32.307103	0.032253	1616	4.839895	290	113	86
6	648	31	10	903	97.712407	9.388505	6.939451	0.006894	32.264905	0.032306	1614	4.846386	290	102	84
7	647	31	9	910	92.986332	9.795403	6.875829	0.006906	32.296404	0.032295	1617	4.838555	287	106	84
8	650	29	10	900	99.525153	9.070655	6.900000	0.006900	32.300000	0.032300	1614	4.852027	295	105	116
9	654	30	9	880	94.939220	9.436620	6.916064	0.006901	32.350465	0.032323	1615	4.846976	286	115	81

Original Dataset

	print_height	nozzle_voltage	drop_spacing	distance	time	velocity	ink_visco_cp	ink_visco_pas	surface_tension_dyne_cm	surface_tension_n_m	ink _density	z_number	line_width	overspray	roughness
178	650	28	17	900	108.0	8.333333	6.9	0.0069	32.3	0.0323	1614	4.852027	212	282	72
179	650	31	8	900	93.0	9.677419	6.9	0.0069	32.3	0.0323	1614	4.852027	323	47	157
180	650	31	9	900	93.0	9.677419	6.9	0.0069	32.3	0.0323	1614	4.852027	305	201	108
181	650	31	10	900	94.0	9.574468	6.9	0.0069	32.3	0.0323	1614	4.852027	288	107	85
182	650	31	11	900	95.0	9.473684	6.9	0.0069	32.3	0.0323	1614	4.852027	290	24	115
183	650	31	12	900	96.0	9.375000	6.9	0.0069	32.3	0.0323	1614	4.852027	262	17	94
184	650	31	13	900	96.0	9.375000	6.9	0.0069	32.3	0.0323	1614	4.852027	241	15	86
185	650	31	14	900	96.0	9.375000	6.9	0.0069	32.3	0.0323	1614	4.852027	191	77	87
186	650	31	16	900	108.0	8.333333	6.9	0.0069	32.3	0.0323	1614	4.852027	188	1	73
187	650	31	17	900	107.0	8.411215	6.9	0.0069	32.3	0.0323	1614	4.852027	203	5	45

Oversampled Dataset

	print_height	nozzle_voltage	drop_spacing	distance	time	velocity	ink_visco_cp	ink_visco_pas	surface_tension_dyne_cm	surface_tension_n_m	ink _density	z_number	line_width	overspray	roughness
177	650	28	16	900	108.0	8.333333	6.9	0.0069	32.3	0.0323	1614	4.852027	191	81	99
179	650	31	8	900	93.0	9.677419	6.9	0.0069	32.3	0.0323	1614	4.852027	323	47	157
180	650	31	9	900	93.0	9.677419	6.9	0.0069	32.3	0.0323	1614	4.852027	305	201	108
181	650	31	10	900	94.0	9.574468	6.9	0.0069	32.3	0.0323	1614	4.852027	288	107	85
182	650	31	11	900	95.0	9.473684	6.9	0.0069	32.3	0.0323	1614	4.852027	290	24	115
183	650	31	12	900	96.0	9.375000	6.9	0.0069	32.3	0.0323	1614	4.852027	262	17	94
184	650	31	13	900	96.0	9.375000	6.9	0.0069	32.3	0.0323	1614	4.852027	241	15	86
185	650	31	14	900	96.0	9.375000	6.9	0.0069	32.3	0.0323	1614	4.852027	191	77	87
186	650	31	16	900	108.0	8.333333	6.9	0.0069	32.3	0.0323	1614	4.852027	188	1	73
187	650	31	17	900	107.0	8.411215	6.9	0.0069	32.3	0.0323	1614	4.852027	203	5	45

Original Dataset

	print_height	nozzle_voltage	drop_spacing	distance	time	velocity	ink_visco_cp	ink_visco_pas	surface_tension_dyne_cm	surface_tension_n_m	ink _density	z_number	line_width	overspray	roughness	# duplicates
Dataset does not contain duplicate rows.

Oversampled Dataset

	print_height	nozzle_voltage	drop_spacing	distance	time	velocity	ink_visco_cp	ink_visco_pas	surface_tension_dyne_cm	surface_tension_n_m	ink _density	z_number	line_width	overspray	roughness	# duplicates
0	650	25	8	300	41.0	7.317073	6.9	0.0069	32.3	0.0323	1614	4.852027	227	11	78	3
1	650	25	9	300	42.0	7.142857	6.9	0.0069	32.3	0.0323	1614	4.852027	266	46	86	3
3	650	25	11	300	40.0	7.500000	6.9	0.0069	32.3	0.0323	1614	4.852027	223	3	91	3
6	650	25	16	300	38.0	7.894737	6.9	0.0069	32.3	0.0323	1614	4.852027	176	16	54	3
7	650	25	17	300	38.0	7.894737	6.9	0.0069	32.3	0.0323	1614	4.852027	192	3	77	3
8	650	28	8	900	108.0	8.333333	6.9	0.0069	32.3	0.0323	1614	4.852027	308	161	131	3
9	650	28	9	900	107.0	8.411215	6.9	0.0069	32.3	0.0323	1614	4.852027	279	415	144	3
12	650	28	11	900	105.0	8.571429	6.9	0.0069	32.3	0.0323	1614	4.852027	303	105	147	3
14	650	28	13	900	107.0	8.411215	6.9	0.0069	32.3	0.0323	1614	4.852027	293	201	122	3
15	650	28	14	900	107.0	8.411215	6.9	0.0069	32.3	0.0323	1614	4.852027	194	72	76	3

Overview

Variables

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII